Context-Based Audio Confirmation for Secure Authentication
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Solution Overview
Problem
Conventional security systems, including biometric authentication, are vulnerable to unauthorized access and malicious techniques, such as password guessing and spoofing, and may require costly biometric data storage.
Innovation Solution
An audio capture device receives user command inputs and provides context-based confirmation queries formed from authorized user data, determining if the response matches a predetermined answer to authenticate and authorize access to sensitive functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional security systems including biometric authentication are used, then user identification capability is provided, but vulnerability to unauthorized access and spoofing attacks increases
Solution Approach 1:
The system introduces an intermediary verification step using audio capture devices and context-based query generation. Instead of directly authenticating users through biometric data alone, the system mediates the authentication process by capturing audio responses, analyzing them against stored voiceprints, and verifying contextual knowledge. This intermediary layer prevents direct exploitation of biometric databases through spoofing attacks.
Solution Approach 2:
The system performs preliminary actions by pre-storing voiceprint templates and context-based answer sets during authorized user registration. Before actual authentication occurs, the system prepares verification mechanisms including voice pattern analysis capabilities and context-aware query generation. This preliminary preparation enables rapid and secure verification without requiring real-time complex processing during authentication.
2Reliability
If biometric data storage is implemented, then authentication capability is enhanced, but cost increases
Solution Approach 1:
The system replaces expensive, permanent biometric database storage with cheaper, ephemeral audio-based verification. Instead of maintaining costly secure biometric repositories, the system uses disposable audio captures during verification sessions, comparing them against pre-stored voiceprint templates. This approach significantly reduces infrastructure costs while maintaining authentication security.
Solution Approach 2:
The system substitutes complex mechanical biometric verification systems with acoustic-based verification. Rather than using expensive fingerprint scanners, facial recognition hardware, or iris cameras, the invention employs simple audio capture devices (microphones) to verify user identity through voiceprint analysis and contextual knowledge verification, dramatically reducing hardware costs.
3Reliability
If context-based confirmation queries are provided, then security against unauthorized access is improved, but system complexity increases
Solution Approach 1:
The system achieves multi-functionality by using a single audio capture device for multiple purposes: capturing user commands, recording voiceprints for authentication, and obtaining contextual verification responses. The same audio processing pipeline serves both security verification and normal system interaction, eliminating the need for separate dedicated hardware components and reducing overall system complexity.
Solution Approach 2:
The system implements self-service through automated voiceprint template generation and context-based query formulation. During registration, the system automatically creates voiceprint templates from user audio samples without manual intervention. During verification, it automatically generates context-based questions and analyzes responses, eliminating the need for human operators and reducing system complexity while maintaining high security.
Data Source
AI summary
One embodiment provides a method, including: receiving, at an audio capture device associated with an information handling device, command input from a user; providing, to the user and responsive to receiving the command input, a confirmation query, wherein the confirmation query is formed utilizing context data associated with an authorized user; determining, using a processor, whether a response to the confirmation query provided by the user matches a predetermined answer; and performing, responsive to determining that the response matches the predetermined answer, a function corresponding to the command input. Other aspects are described and claimed.